{"id":"W4281565904","doi":"10.32920/19857493","title":"A review of closed-loop supply chain and reverse logistics models","year":2022,"lang":"en","type":"review","venue":"","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Supply chain; Reverse logistics; Closed loop; Domain (mathematical analysis); Computer science; Supply chain management; Business; Field (mathematics); Industrial organization; Engineering; Marketing; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001080711,0.001242516,0.001041865,0.00367278,0.0004639752,0.001752233,0.001504008,0.001541477,0.004390275],"category_scores_gemma":[0.002454453,0.0004618849,0.0008837365,0.006565521,0.0006593576,0.002821647,0.0006987393,0.001022134,0.001286799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627492,"about_ca_system_score_gemma":0.003138235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004346932,"about_ca_topic_score_gemma":0.003994666,"domain_scores_codex":[0.9993937,0.0001504689,0.00008092594,0.00008962804,0.0002448677,0.00004045392],"domain_scores_gemma":[0.9986556,0.0008597691,0.0001463398,0.00004045405,0.0002637085,0.00003420492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006672841,0.0001623974,0.001070476,0.02805172,0.0002310359,0.0006346406,0.0004341614,0.03606085,0.0008826874,0.1760181,0.04740405,0.7089831],"study_design_scores_gemma":[0.00001248682,0.0001339268,0.001624219,0.01141103,0.0002476682,0.0009623583,0.0004609877,0.01837325,0.0005941131,0.08284149,0.8832601,0.0000783888],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001444549,0.9595411,0.01828218,0.001570966,0.0004786357,0.00003875051,0.000168901,0.00005188859,0.01842303],"genre_scores_gemma":[0.02121484,0.9680668,0.00647618,0.000347024,0.0003703289,0.00005138529,0.0002201183,0.0000115037,0.003241943],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004390275,"threshold_uncertainty_score":0.01468694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07258397232483962,"score_gpt":0.2893807486027206,"score_spread":0.216796776277881,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}